By boparaiamrit
An agentic skills framework that makes AI assistants think like senior staff engineers. 31 skills, 28 commands, 9 agents.
Run a comprehensive audit of the codebase covering security, performance, architecture, and database.
Create or verify named progress checkpoints with git snapshots and test status.
Stage changes and create a well-formatted conventional commit.
Switch context mode to change how the assistant behaves (dev, research, or review).
Systematically debug an issue using structured diagnosis.
Scientific debugging agent — investigates issues using hypothesis-driven methodology with evidence chains, persistent state, and checkpoint handling.
Plan execution agent — implements tasks from plans with deviation protocol, checkpoint handling, context fidelity, mandatory file reads, and deterministic state tracking.
Bug fix implementation agent — implements targeted fixes based on investigation findings with minimal change footprint and comprehensive verification.
Bug investigation agent — systematically traces issues from symptoms to root cause through hypothesis generation, log analysis, and reproduction.
Codebase mapping agent — creates comprehensive structural maps including module boundaries, dependency graphs, architectural patterns, and complexity analysis.
Use as the master reference for all core principles, anti-hallucination protocol, severity framework, and skill activation rules. Every other skill inherits from this. Read this first in any new session.
Use when auditing UI for accessibility, WCAG compliance, keyboard navigation, screen reader support, or when building inclusive interfaces.
Multi-agent council using real subagent spawning (Task() tool), deterministic CLI state management, and file-based handoffs. Orchestrator stays lean while specialists execute in fresh contexts.
Use when designing, reviewing, or auditing APIs — REST, GraphQL, RPC, WebSocket. Covers endpoint design, request/response contracts, versioning, error handling, pagination, rate limiting, and documentation.
Use when asked to audit, evaluate, or understand a codebase's architecture. Covers structure, patterns, coupling, cohesion, and architectural drift. Use after codebase-mapping for full context.
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
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Executes directly as bash, bypassing the AI model
Executes directly as bash, bypassing the AI model
The ultimate AI agent skills framework — 33 skills · 34 commands · 37 workflows · 9 agents · 10 cursor rules · 8 hooks · 13 modules · 11 templates
Make your AI coding assistant think like a staff engineer.
Skills by Amrit is a comprehensive, agent-agnostic skills framework that transforms AI coding assistants into senior staff engineers. Install once, use everywhere — across 34+ supported agents including Antigravity, Cursor, Claude Code, Gemini CLI, Windsurf, Copilot, and more.
The most powerful pattern in AI-assisted development — real subagent spawning with deterministic orchestration.
The Memory Module deeply scans your entire codebase BEFORE any work begins — databases, schemas, API routes, service dependencies, frontend components, tech stack — and creates a structured intelligence layer that persists across sessions.
Council v2 spawns real subagents via Task() — each specialist gets a fresh 200k context window. The orchestrator stays lean at ~10-15% context, coordinating through 13 deterministic CLI commands with code-enforced quality gates.
╔═══════════════════════════════╗
║ 🎯 ORCHESTRATOR (lean) ║
║ 13 CLI commands · Quality gates ║
║ ~10-15% context · Task() spawn ║
╚════════════╦══════════════════╝
║
Task() spawning
┌──────────────────┼──────────────────┐
┌──────▼──┐ ┌──────▼──┐ ┌──▼────┐ ┌──▼──────┐
│🔬Research│ │📐Planner│ │⚙️Exec │ │🔍Review │
│ Fresh │ │ Fresh │ │ Fresh │ │ Fresh │
│ 200k ctx │ │ 200k │ │ 200k │ │ 200k │
└──────────┘ └────────┘ └──────┘ └─────────┘
What makes it different:
Task(), no context pollutioncouncil start, council next, council status, etc./learn, /quality-gate, /checkpoint, /loop, /orchestrate, /contextnpx claudepluginhub boparaiamrit/skills-by-amrit10 production-grade skills by Amritpal Singh Boparai for full-stack multi-tenant SaaS development: Build Second Brain (git repo analysis + knowledge base), SaaS Architect (enterprise backend), Frontend Architect (Next.js + React), MSSP Audit (48-check multi-tenant compliance), API Docs (OpenAPI + SDK generation), Code Review (PR review checklists), DevOps (CI/CD + Docker + monitoring), Performance (backend + frontend + DB optimization), Security (enterprise auth + OWASP), Testing (unit + E2E + multi-tenant isolation).
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.
Curated skills for Claude Code and Codex power users - tool selection, workflow optimization, and productivity
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
26 domain skills + 5 verification tools for security-first full-stack engineering. Covers security, architecture, DevOps, AI, mobile, office docs, frontend design, and multi-agent coordination.
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,561 supported skills.